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NUEN630: Monte Carlo Methods MCNP

NUEN 630 is a special topic graduate level course, also open to NUEN undergraduate seniors. Particle (neutron/photon/electron…) transport simulations based on Monte Carlo principles should be an inevitable part of graduate curriculum, both for nuclear engineering and radiological health engineering degrees because they are widely used now in research and industry. Monte Carlo transport code helps to develop realistic models for analyzing problems in reactor physics, radiation shielding, medical physics, etc. There are state-of-art computer codes available vis-à-vis MCNP/MCNPX, KENO, EGS and GEANT to meet these challenges. These codes are now made more attractive to students with the provision of graphical interfaces, but are vulnerable to abuse, when used as black boxes.
The objective of this course is to educate on the underlying principles of Monte Carlo method, its statistical behavior, random number generation, variance reduction schemes, sampling methods to simulate physical process of the linear Boltzmann transport equation, combinatorial geometry modeling, forward/adjoint capabilities, interaction cross section formats, etc. Hands-on computer lab training will be provided on the use of MCNP code through model development and analyses of international benchmark exercises. In addition, a flavor to code Monte Carlo algorithms will be taught, so as to appreciate the basic ideas of MCNP code.
Successful completion of the course would provide the students in depth knowledge on the theory and principles of Monte Carlo transport simulations. This should facilitate them to independently handle transport simulations and analyses envisaged in reactor core physics, criticality safety, radiation shielding, radiation detector modeling, medical physics, etc., which are amenable by Monte Carlo methods. Also, students would have acquired insight to develop Monte Carlo algorithms and coding.

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